Evidence map›Paper›PMID 37446853›Full record

ReviewMolecules (Basel, Switzerland)2023

Chemistry, Bioactivity, and Prediction of the Quality Marker (Q-Marker) of

Yerlan Bahetjan, Muguli Muhaxi, Kejian Pang, Murat Kizaibek, Hui Tang, Fatemeh Sefidkon, Xinzhou Yang

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Yerlan BahetjanInternational Cooperation Base for Active Substances in Traditional Chinese Medicine in Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, 182 Min-Zu Road, Wuhan 430074, China.
Muguli MuhaxiCollege of Biological and Geographical Sciences, Yili Normal University, Yining 835000, China.
Kejian PangCollege of Biological and Geographical Sciences, Yili Normal University, Yining 835000, China.
Murat KizaibekTraditional Kazakh Medicine Research Institute of Ili Kazakh Autonomous Prefecture, Yining 835000, China.ORCID 0000-0002-5861-3809
Hui TangKey Laboratory of Xinjiang Phytomedicine Resource and Utilization, Ministry of Education, Pharmacy School, Shihezi University, Shihezi 832003, China.
Fatemeh SefidkonResearch Division of Medicinal Plants, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran P.O. Box 13185-116, Iran.
Xinzhou YangInternational Cooperation Base for Active Substances in Traditional Chinese Medicine in Hubei Province, School of Pharmaceutical Sciences, South-Central Minzu University, 182 Min-Zu Road, Wuhan 430074, China.ORCID 0000-0003-1697-2923
Minzu University of China · CNYili Normal University · CNAgricultural Research & Education Organization · IRShihezi University · CN

Funding

Regional collaborative Innovation Project of Xinjiang Uyghur Autonomous Region - The Science and Technology Partnership Program and International Science and Technology Cooperation Program of Shanghai Cooperation Organization 2022276816the Fundamental Research Funds for the Central Universities, South-Central Minzu University CZZ22002
6 · The paper itself

Abstract

The genus of

Indexed as

ApiaceaeFerulaOils, VolatileSesquiterpenesMedicine, TraditionalOils, VolatileSesquiterpenesApiaceaechemical compositionFerulapharmacologyQ-marker

Identifiers

PMID37446853
PMCPMC10343754
OpenAlexW4383228194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.